Ai Biofabrication › Graph Neural Networks for Cell-Cell Interaction Modeling
Message Passing Mechanisms for Paracrine Signaling Network Inference
This research develops advanced message passing algorithms that decode paracrine signaling patterns from single-cell transcriptomics and spatial proteomics data. The work produces quantitative models of secreted factor communication that reveal previously undetected ligand-receptor interactions governing cell behavior.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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